Companies standardize influencer data reconciliation processes through a few key steps:

1. Uniform Data Collection: They define the type of data to be collected from influencers across different platforms, thereby ensuring data uniformity. This includes metrics such as engagement rates, follower numbers, views, or likes.

2. Adopting Influencer Management Platforms: Tools like Flinque, for instance, can help centralize and streamline influencer data, thereby reducing manual errors. These platforms also often provide analytical features which can help standardize measurement techniques and data interpretation.

3. Consistent Evaluation Metrics: They determine firm performance indicators and apply those equally across all influencers. This helps ensure that all influencers are evaluated on the same scale and that data is consistently recorded.

4. Automation: Companies often utilize automated tools to reconcile inconsistencies in data pulled from various social media platforms. This reduces human error and provides a quicker, more accurate data reconciliation process.

5. Regular Audits and Checks: Companies should regularly check their data and processes to ensure consistency and accuracy over time.

6. Training: By training employees on standardized protocols, businesses can reduce data discrepancies and errors. This can include how and when to collect data, how to record it, and how to analyze it.

Remember, the best approach depends on your specific needs and situation. Having a clear strategy and using platforms like Flinque can certainly aid in standardizing influencer data and ensuring a successful influencer campaign.